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Data and code for "Nominally identical microplastic models differ greatly in their particle-cell interactions"
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Researchers provide the data and code underlying the study 'Nominally identical microplastic models differ greatly in their particle-cell interactions,' making the full evaluation pipeline reproducible while noting that the complete 575 GB raw dataset is available from corresponding authors upon request.
This dataset provides the data and code for the study “Nominally identical microplastic models differ greatly in their particle-cell interactions”. Due to the size of the raw data, they were deposited only for one particle type (PX). With these files, it is possible to run all code and follow the evaluation procedure. The complete set of raw data, which is about 575 GB in size (compressed), can be obtained from the corresponding authors upon request. Holger Kress: holger.kress@uni-bayreuth.de, Christian Laforsch: christian.laforsch@uni-bayreuth.de.
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Data and code for "Nominally identical microplastic models differ greatly in their particle-cell interactions"
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Researchers provide the data and code supporting the study on particle-cell interactions of nominally identical microplastic models, enabling reproducible analysis of how different commercial microplastic preparations produce divergent biological effects at the cellular level.
Nominally identical microplastic models differ greatly in their particle-cell interactions
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This study demonstrated that microplastic particles described by the same nominal properties can differ greatly in how they interact with cells depending on their actual preparation and source, with nominally identical models showing divergent cellular uptake and toxicity. The findings highlight a major reproducibility challenge in microplastic research and the need for thorough particle characterization beyond simple descriptor labels.
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This study found that microplastic particles described by the same nominal characteristics such as size and polymer type can differ greatly in their cellular uptake and biological interactions depending on manufacturer and preparation method. These differences in particle-cell interactions underscore the difficulty of comparing results across studies using nominally identical plastic models.
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Researchers compiled a complete microplastic particle dataset from multiple detection studies, providing raw data documenting the physical and chemical characteristics of MP particles detected across different environmental samples to support reproducibility and further analysis.
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